Senior Data Scientist

Our award-winning global SaaS client is seeking an experienced, hands-on Senior Data Scientist covering International (UK and CA) run-the-business analytics and data science. You will be the sole senior owner, keeping revenue visibility, regulatory reporting, and the current model suite running. This role is a 6 Month contract, Hybrid working – potential to extend.

You will work closely with product, marketing, engineering, business development, compliance, and member support. This role suits an operator who takes over existing BAU and runs it end to end with minimal hands-on support, staying reliable under real deadlines.

Responsibilities

Monitor the International revenue baseline across the UK and CA. Investigate anomalies and give early warning on revenue movement

Support partner monitoring and escalations: new offer setup, lookalike and recommender admin, partner click-report fixes, and partner ranking changes

Run email campaign and performance monitoring: anomaly investigation, re-targeting, send-failure triage, and churn-driver analysis

Support experimentation and testing: experiment monitoring, reads, and promotion calls

Handle member support and regulatory pulls: DSAR and RTBF requests, complaint data, FCA regulatory returns, and marketplace-ranking monitoring, often against same-day or next-morning deadlines

Represent analytics in forums and business reviews, and translate technical detail for business partners

Maintain the current suite of production models: scheduled refreshes, retraining, and redeploys. Keep models healthy without rebuilding them

Run data quality on model inputs and pipelines. Triage feed and pipeline issues

Hand over models, pipelines, and reporting with monitoring and documentation to the permanent team at contract close

Skills

5+ years of experience in data science and analytics, including running production models and BAU analytics

Proven ability to pick up existing BAU processes quickly and deliver with low to no supervision

Strong SQL and Python or R. Comfortable reading and maintaining an existing codebase and pipelines

Hands-on experience maintaining production ML models: refresh, retrain, monitor, and troubleshoot, rather than building from scratch

Experience with model performance monitoring and data quality

Excellent written and verbal communication

Advanced degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Physics, or similar), or equivalent experience

Preferred qualifications

Uses AI tools to automate day-to-day work (Claude Code, OpenAI, and similar) and is comfortable with agentic workflows

Prior contract or consulting experience delivering BAU to fixed timelines

Comfortable working cross-functionally across product, marketing, BD, compliance, and member support

Benefits

Hybrid working (3 days in the office)

Award winning work environment

Global Organisation

Free breakfast